• DocumentCode
    387183
  • Title

    Memory system compression and its benefits

  • Author

    Liu, Jiangjiang ; Mahapatra, Nihar R. ; Sundaresan, Krishnan ; Dangeti, Srinivas ; Venkatrao, Balakrishna V.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., State Univ. of New York, Buffalo, NY, USA
  • fYear
    2002
  • fDate
    25-28 Sept. 2002
  • Firstpage
    41
  • Lastpage
    45
  • Abstract
    This paper presents an overall analysis of the redundancy in the information (addresses, instructions, and data) stored and exchanged between the processor and the memory system and evaluates the potential of compression in improving performance, power consumption, and cost of the memory system. Analysis of traces obtained with Sun Microsystems´ Shade simulator simulating SPARC executables of nine integer and six floating-point programs in the SPEC CPU2000 benchmark suite yielded impressive results. Well-designed compression schemes may provide benefits in performance, power, and cost that far outweigh their overheads constituting extra time, logic, and power for compression and decompression. This will be more so in the future since the speed, size, and power consumption of logic (which will be used to perform compression/decompression) are improving and are projected to improve at a much higher rate compared to those of interconnect (which will be used to communicate the information), both on-chip and off-chip.
  • Keywords
    cache storage; data compression; redundancy; semiconductor storage; Markov models; SPEC CPU2000 benchmark suite; Shade; Sun Microsystems; cache; interconnect; memory system compression; power consumption; redundancy; Analytical models; Buffer storage; Cache storage; Costs; Delay; Energy consumption; Logic; Pins; Registers; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ASIC/SOC Conference, 2002. 15th Annual IEEE International
  • Print_ISBN
    0-7803-7494-0
  • Type

    conf

  • DOI
    10.1109/ASIC.2002.1158028
  • Filename
    1158028